# Protocol for developing the nutrition dataset for the international spinal cord society: an international eDelphi approach

## TL;DR

This paper outlines a protocol for creating nutrition datasets for spinal cord injury patients using an international eDelphi survey method.

## Contribution

The study introduces a structured eDelphi approach to develop standardized nutrition datasets for spinal cord injury care.

## Key findings

- An international eDelphi survey will be used to develop SCI nutrition datasets.
- Consensus will be defined using specific statistical criteria and agreement thresholds.
- Free-text responses will be analyzed thematically to enrich dataset development.

## Abstract

An eDelphi survey.

To develop the Spinal Cord Injury (SCI) basic and extended nutrition datasets for adults with SCI for the International Spinal Cord Society (ISCoS).

This international eDelphi study, administered in Australia, will be conducted virtually, overseen by a Research Advisory Group.

An expert panel will be recruited internationally to participate in a three-round eDelphi survey to develop the ISCoS basic and extended nutrition datasets. An a priori criterion will be implemented, defining strong consensus as an interquartile range (IQR) ≤ 1 and consensus as an IQR > 1/≤2. Mean and standard deviation will be calculated to measure convergence and stability depending on the data. Agreement will be determined as ≥ 80% per statement (Likert scale ratings of 4 and 5). A content analysis approach will be utilised to synthesise free-text responses.